Dataset statistics
| Number of variables | 31 |
|---|---|
| Number of observations | 517 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 8 |
| Duplicate rows (%) | 1.5% |
| Total size in memory | 125.3 KiB |
| Average record size in memory | 248.2 B |
Variable types
| Categorical | 22 |
|---|---|
| Numeric | 9 |
| Dataset has 8 (1.5%) duplicate rows | Duplicates |
FFMC is highly overall correlated with DMC and 4 other fields | High correlation |
DMC is highly overall correlated with FFMC and 6 other fields | High correlation |
DC is highly overall correlated with DMC and 7 other fields | High correlation |
ISI is highly overall correlated with FFMC | High correlation |
temp is highly overall correlated with FFMC and 3 other fields | High correlation |
RH is highly overall correlated with temp | High correlation |
wind is highly overall correlated with monthdec | High correlation |
month is highly overall correlated with DC and 12 other fields | High correlation |
day is highly overall correlated with dayfri and 6 other fields | High correlation |
dayfri is highly overall correlated with day | High correlation |
daymon is highly overall correlated with day | High correlation |
daysat is highly overall correlated with day | High correlation |
daysun is highly overall correlated with day | High correlation |
daythu is highly overall correlated with day | High correlation |
daytue is highly overall correlated with day | High correlation |
daywed is highly overall correlated with day | High correlation |
monthapr is highly overall correlated with month | High correlation |
monthaug is highly overall correlated with DMC and 3 other fields | High correlation |
monthdec is highly overall correlated with DC and 3 other fields | High correlation |
monthfeb is highly overall correlated with FFMC and 2 other fields | High correlation |
monthjan is highly overall correlated with FFMC and 1 other fields | High correlation |
monthjul is highly overall correlated with DC and 1 other fields | High correlation |
monthjun is highly overall correlated with DC and 1 other fields | High correlation |
monthmar is highly overall correlated with DMC and 2 other fields | High correlation |
monthmay is highly overall correlated with month | High correlation |
monthnov is highly overall correlated with month | High correlation |
monthoct is highly overall correlated with month | High correlation |
monthsep is highly overall correlated with DMC and 3 other fields | High correlation |
daywed is highly imbalanced (51.7%) | Imbalance |
monthapr is highly imbalanced (87.3%) | Imbalance |
monthdec is highly imbalanced (87.3%) | Imbalance |
monthfeb is highly imbalanced (76.4%) | Imbalance |
monthjan is highly imbalanced (96.3%) | Imbalance |
monthjul is highly imbalanced (66.5%) | Imbalance |
monthjun is highly imbalanced (79.1%) | Imbalance |
monthmar is highly imbalanced (51.7%) | Imbalance |
monthmay is highly imbalanced (96.3%) | Imbalance |
monthnov is highly imbalanced (98.0%) | Imbalance |
monthoct is highly imbalanced (81.1%) | Imbalance |
rain has 509 (98.5%) zeros | Zeros |
area has 247 (47.8%) zeros | Zeros |
Reproduction
| Analysis started | 2023-07-17 06:15:22.650203 |
|---|---|
| Analysis finished | 2023-07-17 06:16:00.663409 |
| Duration | 38.01 seconds |
| Software version | pandas-profiling v3.6.6 |
| Download configuration | config.json |
month
Categorical
| Distinct | 12 |
|---|---|
| Distinct (%) | 2.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| aug | |
|---|---|
| sep | |
| mar | |
| jul | |
| feb | |
| Other values (7) |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 1551 |
|---|---|
| Distinct characters | 19 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.2% |
Sample
| 1st row | mar |
|---|---|
| 2nd row | oct |
| 3rd row | oct |
| 4th row | mar |
| 5th row | mar |
Common Values
| Value | Count | Frequency (%) |
| aug | 184 | |
| sep | 172 | |
| mar | 54 | 10.4% |
| jul | 32 | 6.2% |
| feb | 20 | 3.9% |
| jun | 17 | 3.3% |
| oct | 15 | 2.9% |
| apr | 9 | 1.7% |
| dec | 9 | 1.7% |
| jan | 2 | 0.4% |
| Other values (2) | 3 | 0.6% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| aug | 184 | |
| sep | 172 | |
| mar | 54 | 10.4% |
| jul | 32 | 6.2% |
| feb | 20 | 3.9% |
| jun | 17 | 3.3% |
| oct | 15 | 2.9% |
| apr | 9 | 1.7% |
| dec | 9 | 1.7% |
| jan | 2 | 0.4% |
| Other values (2) | 3 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 251 | |
| u | 233 | |
| e | 201 | |
| g | 184 | |
| p | 181 | |
| s | 172 | |
| r | 63 | 4.1% |
| m | 56 | 3.6% |
| j | 51 | 3.3% |
| l | 32 | 2.1% |
| Other values (9) | 127 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1551 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 251 | |
| u | 233 | |
| e | 201 | |
| g | 184 | |
| p | 181 | |
| s | 172 | |
| r | 63 | 4.1% |
| m | 56 | 3.6% |
| j | 51 | 3.3% |
| l | 32 | 2.1% |
| Other values (9) | 127 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1551 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 251 | |
| u | 233 | |
| e | 201 | |
| g | 184 | |
| p | 181 | |
| s | 172 | |
| r | 63 | 4.1% |
| m | 56 | 3.6% |
| j | 51 | 3.3% |
| l | 32 | 2.1% |
| Other values (9) | 127 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1551 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 251 | |
| u | 233 | |
| e | 201 | |
| g | 184 | |
| p | 181 | |
| s | 172 | |
| r | 63 | 4.1% |
| m | 56 | 3.6% |
| j | 51 | 3.3% |
| l | 32 | 2.1% |
| Other values (9) | 127 |
day
Categorical
| Distinct | 7 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| sun | |
|---|---|
| fri | |
| sat | |
| mon | |
| tue | |
| Other values (2) |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 1551 |
|---|---|
| Distinct characters | 14 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | fri |
|---|---|
| 2nd row | tue |
| 3rd row | sat |
| 4th row | fri |
| 5th row | sun |
Common Values
| Value | Count | Frequency (%) |
| sun | 95 | |
| fri | 85 | |
| sat | 84 | |
| mon | 74 | |
| tue | 64 | |
| thu | 61 | |
| wed | 54 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| sun | 95 | |
| fri | 85 | |
| sat | 84 | |
| mon | 74 | |
| tue | 64 | |
| thu | 61 | |
| wed | 54 |
Most occurring characters
| Value | Count | Frequency (%) |
| u | 220 | |
| t | 209 | |
| s | 179 | |
| n | 169 | |
| e | 118 | |
| f | 85 | 5.5% |
| r | 85 | 5.5% |
| i | 85 | 5.5% |
| a | 84 | 5.4% |
| m | 74 | 4.8% |
| Other values (4) | 243 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1551 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| u | 220 | |
| t | 209 | |
| s | 179 | |
| n | 169 | |
| e | 118 | |
| f | 85 | 5.5% |
| r | 85 | 5.5% |
| i | 85 | 5.5% |
| a | 84 | 5.4% |
| m | 74 | 4.8% |
| Other values (4) | 243 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1551 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| u | 220 | |
| t | 209 | |
| s | 179 | |
| n | 169 | |
| e | 118 | |
| f | 85 | 5.5% |
| r | 85 | 5.5% |
| i | 85 | 5.5% |
| a | 84 | 5.4% |
| m | 74 | 4.8% |
| Other values (4) | 243 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1551 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| u | 220 | |
| t | 209 | |
| s | 179 | |
| n | 169 | |
| e | 118 | |
| f | 85 | 5.5% |
| r | 85 | 5.5% |
| i | 85 | 5.5% |
| a | 84 | 5.4% |
| m | 74 | 4.8% |
| Other values (4) | 243 |
FFMC
Real number (ℝ)
| Distinct | 106 |
|---|---|
| Distinct (%) | 20.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 90.644681 |
| Minimum | 18.7 |
|---|---|
| Maximum | 96.2 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 KiB |
Quantile statistics
| Minimum | 18.7 |
|---|---|
| 5-th percentile | 84.1 |
| Q1 | 90.2 |
| median | 91.6 |
| Q3 | 92.9 |
| 95-th percentile | 95.1 |
| Maximum | 96.2 |
| Range | 77.5 |
| Interquartile range (IQR) | 2.7 |
Descriptive statistics
| Standard deviation | 5.5201108 |
|---|---|
| Coefficient of variation (CV) | 0.060898343 |
| Kurtosis | 67.066041 |
| Mean | 90.644681 |
| Median Absolute Deviation (MAD) | 1.3 |
| Skewness | -6.575606 |
| Sum | 46863.3 |
| Variance | 30.471624 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 92.1 | 28 | 5.4% |
| 91.6 | 28 | 5.4% |
| 91 | 22 | 4.3% |
| 91.7 | 19 | 3.7% |
| 92.4 | 16 | 3.1% |
| 93.7 | 16 | 3.1% |
| 92.5 | 15 | 2.9% |
| 94.8 | 14 | 2.7% |
| 90.1 | 12 | 2.3% |
| 92.9 | 12 | 2.3% |
| Other values (96) | 335 |
| Value | Count | Frequency (%) |
| 18.7 | 1 | 0.2% |
| 50.4 | 1 | 0.2% |
| 53.4 | 1 | 0.2% |
| 63.5 | 2 | |
| 68.2 | 1 | 0.2% |
| 69 | 1 | 0.2% |
| 75.1 | 2 | |
| 79.5 | 3 | |
| 81.5 | 2 | |
| 81.6 | 4 |
| Value | Count | Frequency (%) |
| 96.2 | 2 | 0.4% |
| 96.1 | 6 | |
| 96 | 2 | 0.4% |
| 95.9 | 2 | 0.4% |
| 95.8 | 1 | 0.2% |
| 95.5 | 2 | 0.4% |
| 95.2 | 7 | |
| 95.1 | 5 | |
| 95 | 1 | 0.2% |
| 94.9 | 3 |
DMC
Real number (ℝ)
| Distinct | 215 |
|---|---|
| Distinct (%) | 41.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 110.87234 |
| Minimum | 1.1 |
|---|---|
| Maximum | 291.3 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 KiB |
Quantile statistics
| Minimum | 1.1 |
|---|---|
| 5-th percentile | 14.92 |
| Q1 | 68.6 |
| median | 108.3 |
| Q3 | 142.4 |
| 95-th percentile | 231.1 |
| Maximum | 291.3 |
| Range | 290.2 |
| Interquartile range (IQR) | 73.8 |
Descriptive statistics
| Standard deviation | 64.046482 |
|---|---|
| Coefficient of variation (CV) | 0.57765969 |
| Kurtosis | 0.20482178 |
| Mean | 110.87234 |
| Median Absolute Deviation (MAD) | 34.9 |
| Skewness | 0.54749779 |
| Sum | 57321 |
| Variance | 4101.9519 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 99 | 10 | 1.9% |
| 129.5 | 9 | 1.7% |
| 231.1 | 8 | 1.5% |
| 142.4 | 8 | 1.5% |
| 35.8 | 7 | 1.4% |
| 126.5 | 7 | 1.4% |
| 108.4 | 7 | 1.4% |
| 108.3 | 7 | 1.4% |
| 137 | 7 | 1.4% |
| 152.6 | 6 | 1.2% |
| Other values (205) | 441 |
| Value | Count | Frequency (%) |
| 1.1 | 1 | |
| 2.4 | 1 | |
| 3 | 2 | |
| 3.2 | 1 | |
| 3.6 | 1 | |
| 3.7 | 1 | |
| 4.4 | 2 | |
| 4.6 | 1 | |
| 4.9 | 1 | |
| 6.6 | 1 |
| Value | Count | Frequency (%) |
| 291.3 | 1 | 0.2% |
| 290 | 4 | |
| 287.2 | 1 | 0.2% |
| 284.9 | 1 | 0.2% |
| 276.3 | 4 | |
| 273.8 | 2 | |
| 269.8 | 1 | 0.2% |
| 266.2 | 1 | 0.2% |
| 263.1 | 1 | 0.2% |
| 253.6 | 1 | 0.2% |
DC
Real number (ℝ)
| Distinct | 219 |
|---|---|
| Distinct (%) | 42.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 547.94004 |
| Minimum | 7.9 |
|---|---|
| Maximum | 860.6 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 KiB |
Quantile statistics
| Minimum | 7.9 |
|---|---|
| 5-th percentile | 43.58 |
| Q1 | 437.7 |
| median | 664.2 |
| Q3 | 713.9 |
| 95-th percentile | 795.3 |
| Maximum | 860.6 |
| Range | 852.7 |
| Interquartile range (IQR) | 276.2 |
Descriptive statistics
| Standard deviation | 248.06619 |
|---|---|
| Coefficient of variation (CV) | 0.45272507 |
| Kurtosis | -0.24524352 |
| Mean | 547.94004 |
| Median Absolute Deviation (MAD) | 80.2 |
| Skewness | -1.1004451 |
| Sum | 283285 |
| Variance | 61536.835 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 745.3 | 10 | 1.9% |
| 692.6 | 9 | 1.7% |
| 692.3 | 8 | 1.5% |
| 715.1 | 8 | 1.5% |
| 698.6 | 8 | 1.5% |
| 601.4 | 8 | 1.5% |
| 80.8 | 7 | 1.4% |
| 647.1 | 7 | 1.4% |
| 764 | 7 | 1.4% |
| 706.4 | 7 | 1.4% |
| Other values (209) | 438 |
| Value | Count | Frequency (%) |
| 7.9 | 1 | 0.2% |
| 9.3 | 1 | 0.2% |
| 15.3 | 1 | 0.2% |
| 15.5 | 1 | 0.2% |
| 15.8 | 1 | 0.2% |
| 16.2 | 2 | |
| 18.7 | 1 | 0.2% |
| 25.6 | 3 | |
| 26.6 | 1 | 0.2% |
| 28.3 | 2 |
| Value | Count | Frequency (%) |
| 860.6 | 1 | 0.2% |
| 855.3 | 4 | |
| 849.3 | 1 | 0.2% |
| 844 | 1 | 0.2% |
| 825.1 | 4 | |
| 822.8 | 1 | 0.2% |
| 819.1 | 2 | |
| 817.5 | 1 | 0.2% |
| 812.1 | 2 | |
| 811.2 | 1 | 0.2% |
ISI
Real number (ℝ)
| Distinct | 119 |
|---|---|
| Distinct (%) | 23.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.0216634 |
| Minimum | 0 |
|---|---|
| Maximum | 56.1 |
| Zeros | 1 |
| Zeros (%) | 0.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2.6 |
| Q1 | 6.5 |
| median | 8.4 |
| Q3 | 10.8 |
| 95-th percentile | 17 |
| Maximum | 56.1 |
| Range | 56.1 |
| Interquartile range (IQR) | 4.3 |
Descriptive statistics
| Standard deviation | 4.5594772 |
|---|---|
| Coefficient of variation (CV) | 0.50539207 |
| Kurtosis | 21.458037 |
| Mean | 9.0216634 |
| Median Absolute Deviation (MAD) | 2.1 |
| Skewness | 2.5363253 |
| Sum | 4664.2 |
| Variance | 20.788832 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 9.6 | 23 | 4.4% |
| 7.1 | 21 | 4.1% |
| 6.3 | 20 | 3.9% |
| 8.4 | 17 | 3.3% |
| 7 | 17 | 3.3% |
| 6.2 | 16 | 3.1% |
| 9.2 | 15 | 2.9% |
| 7.5 | 14 | 2.7% |
| 9 | 12 | 2.3% |
| 8.1 | 12 | 2.3% |
| Other values (109) | 350 |
| Value | Count | Frequency (%) |
| 0 | 1 | 0.2% |
| 0.4 | 2 | 0.4% |
| 0.7 | 1 | 0.2% |
| 0.8 | 3 | |
| 1.1 | 1 | 0.2% |
| 1.5 | 1 | 0.2% |
| 1.8 | 1 | 0.2% |
| 1.9 | 6 | |
| 2 | 1 | 0.2% |
| 2.1 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 56.1 | 1 | 0.2% |
| 22.7 | 1 | 0.2% |
| 22.6 | 1 | 0.2% |
| 21.3 | 1 | 0.2% |
| 20.3 | 4 | |
| 20 | 2 | 0.4% |
| 18 | 4 | |
| 17.9 | 3 | |
| 17.7 | 5 | |
| 17 | 7 |
temp
Real number (ℝ)
| Distinct | 192 |
|---|---|
| Distinct (%) | 37.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 18.889168 |
| Minimum | 2.2 |
|---|---|
| Maximum | 33.3 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 KiB |
Quantile statistics
| Minimum | 2.2 |
|---|---|
| 5-th percentile | 8.2 |
| Q1 | 15.5 |
| median | 19.3 |
| Q3 | 22.8 |
| 95-th percentile | 27.9 |
| Maximum | 33.3 |
| Range | 31.1 |
| Interquartile range (IQR) | 7.3 |
Descriptive statistics
| Standard deviation | 5.8066253 |
|---|---|
| Coefficient of variation (CV) | 0.30740503 |
| Kurtosis | 0.13616551 |
| Mean | 18.889168 |
| Median Absolute Deviation (MAD) | 3.6 |
| Skewness | -0.33117224 |
| Sum | 9765.7 |
| Variance | 33.716898 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 17.4 | 8 | 1.5% |
| 19.6 | 8 | 1.5% |
| 15.4 | 7 | 1.4% |
| 20.6 | 7 | 1.4% |
| 20.4 | 6 | 1.2% |
| 21.9 | 6 | 1.2% |
| 19.1 | 6 | 1.2% |
| 15.9 | 6 | 1.2% |
| 16.8 | 6 | 1.2% |
| 20.1 | 6 | 1.2% |
| Other values (182) | 451 |
| Value | Count | Frequency (%) |
| 2.2 | 1 | 0.2% |
| 4.2 | 1 | 0.2% |
| 4.6 | 6 | |
| 4.8 | 1 | 0.2% |
| 5.1 | 5 | |
| 5.2 | 1 | 0.2% |
| 5.3 | 3 | |
| 5.5 | 1 | 0.2% |
| 5.8 | 2 | 0.4% |
| 6.7 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 33.3 | 1 | 0.2% |
| 33.1 | 1 | 0.2% |
| 32.6 | 1 | 0.2% |
| 32.4 | 2 | |
| 32.3 | 1 | 0.2% |
| 31 | 1 | 0.2% |
| 30.8 | 2 | |
| 30.6 | 1 | 0.2% |
| 30.2 | 3 | |
| 29.6 | 1 | 0.2% |
RH
Real number (ℝ)
| Distinct | 75 |
|---|---|
| Distinct (%) | 14.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 44.288201 |
| Minimum | 15 |
|---|---|
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 KiB |
Quantile statistics
| Minimum | 15 |
|---|---|
| 5-th percentile | 24 |
| Q1 | 33 |
| median | 42 |
| Q3 | 53 |
| 95-th percentile | 77 |
| Maximum | 100 |
| Range | 85 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 16.317469 |
|---|---|
| Coefficient of variation (CV) | 0.36843829 |
| Kurtosis | 0.43818286 |
| Mean | 44.288201 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | 0.86290401 |
| Sum | 22897 |
| Variance | 266.2598 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 27 | 33 | 6.4% |
| 39 | 24 | 4.6% |
| 35 | 20 | 3.9% |
| 43 | 17 | 3.3% |
| 42 | 17 | 3.3% |
| 45 | 16 | 3.1% |
| 34 | 16 | 3.1% |
| 33 | 15 | 2.9% |
| 40 | 15 | 2.9% |
| 46 | 14 | 2.7% |
| Other values (65) | 330 |
| Value | Count | Frequency (%) |
| 15 | 2 | 0.4% |
| 17 | 1 | 0.2% |
| 18 | 1 | 0.2% |
| 19 | 4 | 0.8% |
| 20 | 1 | 0.2% |
| 21 | 7 | |
| 22 | 5 | 1.0% |
| 24 | 13 | |
| 25 | 10 | |
| 26 | 6 |
| Value | Count | Frequency (%) |
| 100 | 1 | |
| 99 | 1 | |
| 97 | 1 | |
| 96 | 1 | |
| 94 | 1 | |
| 90 | 2 | |
| 88 | 1 | |
| 87 | 1 | |
| 86 | 2 | |
| 84 | 1 |
wind
Real number (ℝ)
| Distinct | 21 |
|---|---|
| Distinct (%) | 4.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.0176015 |
| Minimum | 0.4 |
|---|---|
| Maximum | 9.4 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 KiB |
Quantile statistics
| Minimum | 0.4 |
|---|---|
| 5-th percentile | 1.3 |
| Q1 | 2.7 |
| median | 4 |
| Q3 | 4.9 |
| 95-th percentile | 7.6 |
| Maximum | 9.4 |
| Range | 9 |
| Interquartile range (IQR) | 2.2 |
Descriptive statistics
| Standard deviation | 1.7916526 |
|---|---|
| Coefficient of variation (CV) | 0.44595079 |
| Kurtosis | 0.054323817 |
| Mean | 4.0176015 |
| Median Absolute Deviation (MAD) | 1.3 |
| Skewness | 0.57100113 |
| Sum | 2077.1 |
| Variance | 3.210019 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 3.1 | 53 | |
| 2.2 | 53 | |
| 4 | 51 | |
| 4.9 | 48 | |
| 2.7 | 44 | |
| 5.4 | 41 | |
| 4.5 | 41 | |
| 3.6 | 40 | |
| 1.8 | 31 | 6.0% |
| 5.8 | 24 | 4.6% |
| Other values (11) | 91 |
| Value | Count | Frequency (%) |
| 0.4 | 1 | 0.2% |
| 0.9 | 13 | 2.5% |
| 1.3 | 14 | 2.7% |
| 1.8 | 31 | |
| 2.2 | 53 | |
| 2.7 | 44 | |
| 3.1 | 53 | |
| 3.6 | 40 | |
| 4 | 51 | |
| 4.5 | 41 |
| Value | Count | Frequency (%) |
| 9.4 | 4 | 0.8% |
| 8.9 | 1 | 0.2% |
| 8.5 | 8 | 1.5% |
| 8 | 5 | 1.0% |
| 7.6 | 14 | 2.7% |
| 7.2 | 4 | 0.8% |
| 6.7 | 8 | 1.5% |
| 6.3 | 19 | |
| 5.8 | 24 | |
| 5.4 | 41 |
rain
Real number (ℝ)
| Distinct | 7 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.021663443 |
| Minimum | 0 |
|---|---|
| Maximum | 6.4 |
| Zeros | 509 |
| Zeros (%) | 98.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 6.4 |
| Range | 6.4 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.29595912 |
|---|---|
| Coefficient of variation (CV) | 13.661684 |
| Kurtosis | 421.29596 |
| Mean | 0.021663443 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 19.816344 |
| Sum | 11.2 |
| Variance | 0.087591801 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 509 | |
| 0.2 | 2 | 0.4% |
| 0.8 | 2 | 0.4% |
| 1 | 1 | 0.2% |
| 6.4 | 1 | 0.2% |
| 0.4 | 1 | 0.2% |
| 1.4 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 509 | |
| 0.2 | 2 | 0.4% |
| 0.4 | 1 | 0.2% |
| 0.8 | 2 | 0.4% |
| 1 | 1 | 0.2% |
| 1.4 | 1 | 0.2% |
| 6.4 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 6.4 | 1 | 0.2% |
| 1.4 | 1 | 0.2% |
| 1 | 1 | 0.2% |
| 0.8 | 2 | 0.4% |
| 0.4 | 1 | 0.2% |
| 0.2 | 2 | 0.4% |
| 0 | 509 |
area
Real number (ℝ)
| Distinct | 251 |
|---|---|
| Distinct (%) | 48.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 12.847292 |
| Minimum | 0 |
|---|---|
| Maximum | 1090.84 |
| Zeros | 247 |
| Zeros (%) | 47.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0.52 |
| Q3 | 6.57 |
| 95-th percentile | 48.714 |
| Maximum | 1090.84 |
| Range | 1090.84 |
| Interquartile range (IQR) | 6.57 |
Descriptive statistics
| Standard deviation | 63.655818 |
|---|---|
| Coefficient of variation (CV) | 4.9548043 |
| Kurtosis | 194.14072 |
| Mean | 12.847292 |
| Median Absolute Deviation (MAD) | 0.52 |
| Skewness | 12.846934 |
| Sum | 6642.05 |
| Variance | 4052.0632 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 247 | |
| 1.94 | 3 | 0.6% |
| 0.52 | 2 | 0.4% |
| 3.71 | 2 | 0.4% |
| 0.68 | 2 | 0.4% |
| 6.43 | 2 | 0.4% |
| 2.14 | 2 | 0.4% |
| 1.95 | 2 | 0.4% |
| 2.18 | 2 | 0.4% |
| 1.75 | 2 | 0.4% |
| Other values (241) | 251 |
| Value | Count | Frequency (%) |
| 0 | 247 | |
| 0.09 | 1 | 0.2% |
| 0.17 | 1 | 0.2% |
| 0.21 | 1 | 0.2% |
| 0.24 | 1 | 0.2% |
| 0.33 | 1 | 0.2% |
| 0.36 | 1 | 0.2% |
| 0.41 | 1 | 0.2% |
| 0.43 | 2 | 0.4% |
| 0.47 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 1090.84 | 1 | |
| 746.28 | 1 | |
| 278.53 | 1 | |
| 212.88 | 1 | |
| 200.94 | 1 | |
| 196.48 | 1 | |
| 185.76 | 1 | |
| 174.63 | 1 | |
| 154.88 | 1 | |
| 105.66 | 1 |
dayfri
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 432 | |
| 1 | 85 | 16.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 432 | |
| 1 | 85 | 16.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 432 | |
| 1 | 85 | 16.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 432 | |
| 1 | 85 | 16.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 432 | |
| 1 | 85 | 16.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 432 | |
| 1 | 85 | 16.4% |
daymon
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 443 | |
| 1 | 74 | 14.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 443 | |
| 1 | 74 | 14.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 443 | |
| 1 | 74 | 14.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 443 | |
| 1 | 74 | 14.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 443 | |
| 1 | 74 | 14.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 443 | |
| 1 | 74 | 14.3% |
daysat
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 433 | |
| 1 | 84 | 16.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 433 | |
| 1 | 84 | 16.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 433 | |
| 1 | 84 | 16.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 433 | |
| 1 | 84 | 16.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 433 | |
| 1 | 84 | 16.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 433 | |
| 1 | 84 | 16.2% |
daysun
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 422 | |
| 1 | 95 | 18.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 422 | |
| 1 | 95 | 18.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 422 | |
| 1 | 95 | 18.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 422 | |
| 1 | 95 | 18.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 422 | |
| 1 | 95 | 18.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 422 | |
| 1 | 95 | 18.4% |
daythu
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 456 | |
| 1 | 61 | 11.8% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 456 | |
| 1 | 61 | 11.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 456 | |
| 1 | 61 | 11.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 456 | |
| 1 | 61 | 11.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 456 | |
| 1 | 61 | 11.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 456 | |
| 1 | 61 | 11.8% |
daytue
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 453 | |
| 1 | 64 | 12.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 453 | |
| 1 | 64 | 12.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 453 | |
| 1 | 64 | 12.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 453 | |
| 1 | 64 | 12.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 453 | |
| 1 | 64 | 12.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 453 | |
| 1 | 64 | 12.4% |
daywed
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 463 | |
| 1 | 54 | 10.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 463 | |
| 1 | 54 | 10.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 463 | |
| 1 | 54 | 10.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 463 | |
| 1 | 54 | 10.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 463 | |
| 1 | 54 | 10.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 463 | |
| 1 | 54 | 10.4% |
monthapr
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 | 9 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 508 | |
| 1 | 9 | 1.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 508 | |
| 1 | 9 | 1.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 508 | |
| 1 | 9 | 1.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 508 | |
| 1 | 9 | 1.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 508 | |
| 1 | 9 | 1.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 508 | |
| 1 | 9 | 1.7% |
monthaug
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 333 | |
| 1 | 184 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 333 | |
| 1 | 184 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 333 | |
| 1 | 184 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 333 | |
| 1 | 184 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 333 | |
| 1 | 184 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 333 | |
| 1 | 184 |
monthdec
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 | 9 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 508 | |
| 1 | 9 | 1.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 508 | |
| 1 | 9 | 1.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 508 | |
| 1 | 9 | 1.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 508 | |
| 1 | 9 | 1.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 508 | |
| 1 | 9 | 1.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 508 | |
| 1 | 9 | 1.7% |
monthfeb
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 | 20 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 497 | |
| 1 | 20 | 3.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 497 | |
| 1 | 20 | 3.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 497 | |
| 1 | 20 | 3.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 497 | |
| 1 | 20 | 3.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 497 | |
| 1 | 20 | 3.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 497 | |
| 1 | 20 | 3.9% |
monthjan
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 | 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 515 | |
| 1 | 2 | 0.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 515 | |
| 1 | 2 | 0.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 515 | |
| 1 | 2 | 0.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 515 | |
| 1 | 2 | 0.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 515 | |
| 1 | 2 | 0.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 515 | |
| 1 | 2 | 0.4% |
monthjul
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 | 32 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 485 | |
| 1 | 32 | 6.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 485 | |
| 1 | 32 | 6.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 485 | |
| 1 | 32 | 6.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 485 | |
| 1 | 32 | 6.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 485 | |
| 1 | 32 | 6.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 485 | |
| 1 | 32 | 6.2% |
monthjun
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 | 17 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 500 | |
| 1 | 17 | 3.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 500 | |
| 1 | 17 | 3.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 500 | |
| 1 | 17 | 3.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 500 | |
| 1 | 17 | 3.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 500 | |
| 1 | 17 | 3.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 500 | |
| 1 | 17 | 3.3% |
monthmar
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 463 | |
| 1 | 54 | 10.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 463 | |
| 1 | 54 | 10.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 463 | |
| 1 | 54 | 10.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 463 | |
| 1 | 54 | 10.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 463 | |
| 1 | 54 | 10.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 463 | |
| 1 | 54 | 10.4% |
monthmay
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 | 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 515 | |
| 1 | 2 | 0.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 515 | |
| 1 | 2 | 0.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 515 | |
| 1 | 2 | 0.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 515 | |
| 1 | 2 | 0.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 515 | |
| 1 | 2 | 0.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 515 | |
| 1 | 2 | 0.4% |
monthnov
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.2% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 516 | |
| 1 | 1 | 0.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 516 | |
| 1 | 1 | 0.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 516 | |
| 1 | 1 | 0.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 516 | |
| 1 | 1 | 0.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 516 | |
| 1 | 1 | 0.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 516 | |
| 1 | 1 | 0.2% |
monthoct
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 | 15 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 502 | |
| 1 | 15 | 2.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 502 | |
| 1 | 15 | 2.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 502 | |
| 1 | 15 | 2.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 502 | |
| 1 | 15 | 2.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 502 | |
| 1 | 15 | 2.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 502 | |
| 1 | 15 | 2.9% |
monthsep
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 517 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 345 | |
| 1 | 172 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 345 | |
| 1 | 172 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 345 | |
| 1 | 172 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 517 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 345 | |
| 1 | 172 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 517 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 345 | |
| 1 | 172 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 517 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 345 | |
| 1 | 172 |
size_category
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 KiB |
| small | |
|---|---|
| large |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 5 |
| Min length | 5 |
Characters and Unicode
| Total characters | 2585 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | small |
|---|---|
| 2nd row | small |
| 3rd row | small |
| 4th row | small |
| 5th row | small |
Common Values
| Value | Count | Frequency (%) |
| small | 378 | |
| large | 139 | 26.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| small | 378 | |
| large | 139 | 26.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| l | 895 | |
| a | 517 | |
| s | 378 | |
| m | 378 | |
| r | 139 | 5.4% |
| g | 139 | 5.4% |
| e | 139 | 5.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2585 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| l | 895 | |
| a | 517 | |
| s | 378 | |
| m | 378 | |
| r | 139 | 5.4% |
| g | 139 | 5.4% |
| e | 139 | 5.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2585 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| l | 895 | |
| a | 517 | |
| s | 378 | |
| m | 378 | |
| r | 139 | 5.4% |
| g | 139 | 5.4% |
| e | 139 | 5.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2585 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| l | 895 | |
| a | 517 | |
| s | 378 | |
| m | 378 | |
| r | 139 | 5.4% |
| g | 139 | 5.4% |
| e | 139 | 5.4% |
| FFMC | DMC | DC | ISI | temp | RH | wind | rain | area | month | day | dayfri | daymon | daysat | daysun | daythu | daytue | daywed | monthapr | monthaug | monthdec | monthfeb | monthjan | monthjul | monthjun | monthmar | monthmay | monthnov | monthoct | monthsep | size_category | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| FFMC | 1.000 | 0.511 | 0.263 | 0.784 | 0.595 | -0.320 | -0.035 | 0.097 | 0.025 | 0.442 | 0.088 | 0.000 | 0.135 | 0.136 | 0.070 | 0.000 | 0.178 | 0.000 | 0.231 | 0.223 | 0.325 | 0.514 | 0.703 | 0.000 | 0.130 | 0.157 | 0.000 | 0.433 | 0.000 | 0.186 | 0.000 |
| DMC | 0.511 | 1.000 | 0.559 | 0.425 | 0.503 | 0.035 | -0.110 | 0.121 | 0.072 | 0.410 | 0.108 | 0.021 | 0.080 | 0.102 | 0.130 | 0.193 | 0.145 | 0.000 | 0.332 | 0.574 | 0.332 | 0.523 | 0.103 | 0.179 | 0.099 | 0.614 | 0.103 | 0.000 | 0.445 | 0.560 | 0.096 |
| DC | 0.263 | 0.559 | 1.000 | 0.104 | 0.309 | 0.026 | -0.206 | 0.008 | 0.062 | 0.554 | 0.091 | 0.101 | 0.000 | 0.063 | 0.081 | 0.071 | 0.147 | 0.130 | 0.280 | 0.626 | 0.576 | 0.474 | 0.100 | 0.590 | 0.807 | 0.752 | 0.100 | 0.168 | 0.121 | 0.695 | 0.000 |
| ISI | 0.784 | 0.425 | 0.104 | 1.000 | 0.416 | -0.177 | 0.136 | 0.117 | 0.012 | 0.305 | 0.154 | 0.194 | 0.147 | 0.116 | 0.085 | 0.068 | 0.196 | 0.116 | 0.210 | 0.381 | 0.245 | 0.393 | 0.103 | 0.000 | 0.219 | 0.146 | 0.000 | 0.021 | 0.017 | 0.271 | 0.000 |
| temp | 0.595 | 0.503 | 0.309 | 0.416 | 1.000 | -0.518 | -0.180 | 0.026 | 0.079 | 0.337 | 0.068 | 0.106 | 0.135 | 0.028 | 0.000 | 0.028 | 0.000 | 0.095 | 0.203 | 0.318 | 0.689 | 0.372 | 0.301 | 0.121 | 0.000 | 0.443 | 0.000 | 0.044 | 0.000 | 0.216 | 0.106 |
| RH | -0.320 | 0.035 | 0.026 | -0.177 | -0.518 | 1.000 | 0.037 | 0.181 | -0.024 | 0.182 | 0.071 | 0.041 | 0.000 | 0.158 | 0.124 | 0.068 | 0.000 | 0.000 | 0.000 | 0.123 | 0.275 | 0.141 | 0.323 | 0.000 | 0.095 | 0.146 | 0.289 | 0.000 | 0.000 | 0.000 | 0.000 |
| wind | -0.035 | -0.110 | -0.206 | 0.136 | -0.180 | 0.037 | 1.000 | 0.121 | 0.053 | 0.225 | 0.096 | 0.134 | 0.159 | 0.000 | 0.128 | 0.000 | 0.087 | 0.109 | 0.127 | 0.000 | 0.630 | 0.079 | 0.042 | 0.000 | 0.097 | 0.170 | 0.000 | 0.000 | 0.066 | 0.201 | 0.108 |
| rain | 0.097 | 0.121 | 0.008 | 0.117 | 0.026 | 0.181 | 0.121 | 1.000 | -0.064 | 0.000 | 0.050 | 0.075 | 0.000 | 0.000 | 0.000 | 0.000 | 0.155 | 0.000 | 0.000 | 0.109 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.048 |
| area | 0.025 | 0.072 | 0.062 | 0.012 | 0.079 | -0.024 | 0.053 | -0.064 | 1.000 | 0.000 | 0.029 | 0.000 | 0.080 | 0.114 | 0.000 | 0.094 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.150 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.201 |
| month | 0.442 | 0.410 | 0.554 | 0.305 | 0.337 | 0.182 | 0.225 | 0.000 | 0.000 | 1.000 | 0.000 | 0.074 | 0.122 | 0.000 | 0.000 | 0.000 | 0.085 | 0.000 | 0.990 | 0.990 | 0.990 | 0.990 | 0.990 | 0.990 | 0.990 | 0.990 | 0.990 | 0.990 | 0.990 | 0.990 | 0.150 |
| day | 0.088 | 0.108 | 0.091 | 0.154 | 0.068 | 0.071 | 0.096 | 0.050 | 0.029 | 0.000 | 1.000 | 0.995 | 0.995 | 0.995 | 0.995 | 0.995 | 0.995 | 0.995 | 0.000 | 0.163 | 0.058 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.046 | 0.000 | 0.075 | 0.000 |
| dayfri | 0.000 | 0.021 | 0.101 | 0.194 | 0.106 | 0.041 | 0.134 | 0.075 | 0.000 | 0.074 | 0.995 | 1.000 | 0.168 | 0.183 | 0.199 | 0.148 | 0.153 | 0.136 | 0.000 | 0.085 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.092 | 0.000 |
| daymon | 0.135 | 0.080 | 0.000 | 0.147 | 0.135 | 0.000 | 0.159 | 0.000 | 0.080 | 0.122 | 0.995 | 0.168 | 1.000 | 0.167 | 0.182 | 0.134 | 0.139 | 0.123 | 0.000 | 0.117 | 0.082 | 0.000 | 0.000 | 0.000 | 0.000 | 0.052 | 0.000 | 0.000 | 0.007 | 0.000 | 0.000 |
| daysat | 0.136 | 0.102 | 0.063 | 0.116 | 0.028 | 0.158 | 0.000 | 0.000 | 0.114 | 0.000 | 0.995 | 0.183 | 0.167 | 1.000 | 0.198 | 0.147 | 0.151 | 0.135 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.024 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| daysun | 0.070 | 0.130 | 0.081 | 0.085 | 0.000 | 0.124 | 0.128 | 0.000 | 0.000 | 0.000 | 0.995 | 0.199 | 0.182 | 0.198 | 1.000 | 0.160 | 0.165 | 0.148 | 0.000 | 0.040 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| daythu | 0.000 | 0.193 | 0.071 | 0.068 | 0.028 | 0.068 | 0.000 | 0.000 | 0.094 | 0.000 | 0.995 | 0.148 | 0.134 | 0.147 | 0.160 | 1.000 | 0.121 | 0.106 | 0.000 | 0.018 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.011 | 0.000 | 0.000 |
| daytue | 0.178 | 0.145 | 0.147 | 0.196 | 0.000 | 0.000 | 0.087 | 0.155 | 0.000 | 0.085 | 0.995 | 0.153 | 0.139 | 0.151 | 0.165 | 0.121 | 1.000 | 0.110 | 0.000 | 0.038 | 0.000 | 0.000 | 0.000 | 0.000 | 0.029 | 0.000 | 0.000 | 0.024 | 0.000 | 0.000 | 0.000 |
| daywed | 0.000 | 0.000 | 0.130 | 0.116 | 0.095 | 0.000 | 0.109 | 0.000 | 0.000 | 0.000 | 0.995 | 0.136 | 0.123 | 0.135 | 0.148 | 0.106 | 0.110 | 1.000 | 0.000 | 0.054 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.015 | 0.000 |
| monthapr | 0.231 | 0.332 | 0.280 | 0.210 | 0.203 | 0.000 | 0.127 | 0.000 | 0.000 | 0.990 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.071 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.065 | 0.000 |
| monthaug | 0.223 | 0.574 | 0.626 | 0.381 | 0.318 | 0.123 | 0.000 | 0.109 | 0.000 | 0.990 | 0.163 | 0.085 | 0.117 | 0.000 | 0.040 | 0.018 | 0.038 | 0.054 | 0.071 | 1.000 | 0.071 | 0.132 | 0.000 | 0.177 | 0.118 | 0.244 | 0.000 | 0.000 | 0.108 | 0.519 | 0.032 |
| monthdec | 0.325 | 0.332 | 0.576 | 0.245 | 0.689 | 0.275 | 0.630 | 0.000 | 0.000 | 0.990 | 0.058 | 0.000 | 0.082 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.071 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.065 | 0.164 |
| monthfeb | 0.514 | 0.523 | 0.474 | 0.393 | 0.372 | 0.141 | 0.079 | 0.000 | 0.000 | 0.990 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.132 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.028 | 0.000 | 0.000 | 0.000 | 0.123 | 0.000 |
| monthjan | 0.703 | 0.103 | 0.100 | 0.103 | 0.301 | 0.323 | 0.042 | 0.000 | 0.000 | 0.990 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| monthjul | 0.000 | 0.179 | 0.590 | 0.000 | 0.121 | 0.000 | 0.000 | 0.000 | 0.150 | 0.990 | 0.000 | 0.000 | 0.000 | 0.024 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.177 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.060 | 0.000 | 0.000 | 0.000 | 0.167 | 0.000 |
| monthjun | 0.130 | 0.099 | 0.807 | 0.219 | 0.000 | 0.095 | 0.097 | 0.000 | 0.000 | 0.990 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.029 | 0.000 | 0.000 | 0.118 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.010 | 0.000 | 0.000 | 0.000 | 0.110 | 0.000 |
| monthmar | 0.157 | 0.614 | 0.752 | 0.146 | 0.443 | 0.146 | 0.170 | 0.000 | 0.000 | 0.990 | 0.000 | 0.000 | 0.052 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.244 | 0.000 | 0.028 | 0.000 | 0.060 | 0.010 | 1.000 | 0.000 | 0.000 | 0.000 | 0.230 | 0.000 |
| monthmay | 0.000 | 0.103 | 0.100 | 0.000 | 0.000 | 0.289 | 0.000 | 0.000 | 0.000 | 0.990 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| monthnov | 0.433 | 0.000 | 0.168 | 0.021 | 0.044 | 0.000 | 0.000 | 0.000 | 0.000 | 0.990 | 0.046 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.024 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 |
| monthoct | 0.000 | 0.445 | 0.121 | 0.017 | 0.000 | 0.000 | 0.066 | 0.000 | 0.000 | 0.990 | 0.000 | 0.000 | 0.007 | 0.000 | 0.000 | 0.011 | 0.000 | 0.000 | 0.000 | 0.108 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.101 | 0.000 |
| monthsep | 0.186 | 0.560 | 0.695 | 0.271 | 0.216 | 0.000 | 0.201 | 0.000 | 0.000 | 0.990 | 0.075 | 0.092 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.015 | 0.065 | 0.519 | 0.065 | 0.123 | 0.000 | 0.167 | 0.110 | 0.230 | 0.000 | 0.000 | 0.101 | 1.000 | 0.000 |
| size_category | 0.000 | 0.096 | 0.000 | 0.000 | 0.106 | 0.000 | 0.108 | 0.048 | 0.201 | 0.150 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.032 | 0.164 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| month | day | FFMC | DMC | DC | ISI | temp | RH | wind | rain | area | dayfri | daymon | daysat | daysun | daythu | daytue | daywed | monthapr | monthaug | monthdec | monthfeb | monthjan | monthjul | monthjun | monthmar | monthmay | monthnov | monthoct | monthsep | size_category | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | mar | fri | 86.2 | 26.2 | 94.3 | 5.1 | 8.2 | 51 | 6.7 | 0.0 | 0.0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | small |
| 1 | oct | tue | 90.6 | 35.4 | 669.1 | 6.7 | 18.0 | 33 | 0.9 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | small |
| 2 | oct | sat | 90.6 | 43.7 | 686.9 | 6.7 | 14.6 | 33 | 1.3 | 0.0 | 0.0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | small |
| 3 | mar | fri | 91.7 | 33.3 | 77.5 | 9.0 | 8.3 | 97 | 4.0 | 0.2 | 0.0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | small |
| 4 | mar | sun | 89.3 | 51.3 | 102.2 | 9.6 | 11.4 | 99 | 1.8 | 0.0 | 0.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | small |
| 5 | aug | sun | 92.3 | 85.3 | 488.0 | 14.7 | 22.2 | 29 | 5.4 | 0.0 | 0.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | small |
| 6 | aug | mon | 92.3 | 88.9 | 495.6 | 8.5 | 24.1 | 27 | 3.1 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | small |
| 7 | aug | mon | 91.5 | 145.4 | 608.2 | 10.7 | 8.0 | 86 | 2.2 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | small |
| 8 | sep | tue | 91.0 | 129.5 | 692.6 | 7.0 | 13.1 | 63 | 5.4 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | small |
| 9 | sep | sat | 92.5 | 88.0 | 698.6 | 7.1 | 22.8 | 40 | 4.0 | 0.0 | 0.0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | small |
| month | day | FFMC | DMC | DC | ISI | temp | RH | wind | rain | area | dayfri | daymon | daysat | daysun | daythu | daytue | daywed | monthapr | monthaug | monthdec | monthfeb | monthjan | monthjul | monthjun | monthmar | monthmay | monthnov | monthoct | monthsep | size_category | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 507 | aug | fri | 91.0 | 166.9 | 752.6 | 7.1 | 25.9 | 41 | 3.6 | 0.0 | 0.00 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | small |
| 508 | aug | fri | 91.0 | 166.9 | 752.6 | 7.1 | 25.9 | 41 | 3.6 | 0.0 | 0.00 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | small |
| 509 | aug | fri | 91.0 | 166.9 | 752.6 | 7.1 | 21.1 | 71 | 7.6 | 1.4 | 2.17 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | small |
| 510 | aug | fri | 91.0 | 166.9 | 752.6 | 7.1 | 18.2 | 62 | 5.4 | 0.0 | 0.43 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | small |
| 511 | aug | sun | 81.6 | 56.7 | 665.6 | 1.9 | 27.8 | 35 | 2.7 | 0.0 | 0.00 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | small |
| 512 | aug | sun | 81.6 | 56.7 | 665.6 | 1.9 | 27.8 | 32 | 2.7 | 0.0 | 6.44 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | large |
| 513 | aug | sun | 81.6 | 56.7 | 665.6 | 1.9 | 21.9 | 71 | 5.8 | 0.0 | 54.29 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | large |
| 514 | aug | sun | 81.6 | 56.7 | 665.6 | 1.9 | 21.2 | 70 | 6.7 | 0.0 | 11.16 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | large |
| 515 | aug | sat | 94.4 | 146.0 | 614.7 | 11.3 | 25.6 | 42 | 4.0 | 0.0 | 0.00 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | small |
| 516 | nov | tue | 79.5 | 3.0 | 106.7 | 1.1 | 11.8 | 31 | 4.5 | 0.0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | small |
Most frequently occurring
| month | day | FFMC | DMC | DC | ISI | temp | RH | wind | rain | area | dayfri | daymon | daysat | daysun | daythu | daytue | daywed | monthapr | monthaug | monthdec | monthfeb | monthjan | monthjul | monthjun | monthmar | monthmay | monthnov | monthoct | monthsep | size_category | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | aug | fri | 91.0 | 166.9 | 752.6 | 7.1 | 25.9 | 41 | 3.6 | 0.0 | 0.00 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | small | 2 |
| 1 | aug | sat | 93.7 | 231.1 | 715.1 | 8.4 | 18.9 | 64 | 4.9 | 0.0 | 0.00 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | small | 2 |
| 2 | aug | sun | 91.4 | 142.4 | 601.4 | 10.6 | 19.8 | 39 | 5.4 | 0.0 | 0.00 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | small | 2 |
| 3 | aug | thu | 91.6 | 248.4 | 753.8 | 6.3 | 20.4 | 56 | 2.2 | 0.0 | 0.00 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | small | 2 |
| 4 | aug | tue | 96.1 | 181.1 | 671.2 | 14.3 | 21.6 | 65 | 4.9 | 0.8 | 0.00 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | small | 2 |
| 5 | aug | wed | 92.1 | 111.2 | 654.1 | 9.6 | 20.4 | 42 | 4.9 | 0.0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | small | 2 |
| 6 | jun | fri | 91.1 | 94.1 | 232.1 | 7.1 | 19.2 | 38 | 4.5 | 0.0 | 0.00 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | small | 2 |
| 7 | mar | sat | 91.7 | 35.8 | 80.8 | 7.8 | 17.0 | 27 | 4.9 | 0.0 | 28.66 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | large | 2 |